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    Maximizing the spatial representativeness of NO2monitoring data using a combination of local wind-based sectoral division and seasonal and diurnal correction factors

    New search for: Donnelly, Aoife
    New search for: Naughton, Owen
    New search for: Misstear, Bruce
    New search for: Broderick, Brian

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    Maximizing the spatial representativeness of NO2monitoring data using a combination of local wind-based sectoral division and seasonal and diurnal correction factors

    New search for: Donnelly, Aoife
    New search for: Naughton, Owen
    New search for: Misstear, Bruce
    New search for: Broderick, Brian

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Maximizing the spatial representativeness of NO2monitoring data using a combination of local wind-based sectoral division and seasonal and diurnal correction factors

    New search for: Donnelly, Aoife
    New search for: Naughton, Owen
    New search for: Misstear, Bruce
    New search for: Broderick, Brian

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Maximizing the spatial representativeness of NO2monitoring data using a combination of local wind-based sectoral division and seasonal and diurnal correction factors

    Contributors:

    Donnelly, Aoife (author) / Naughton, Owen / Misstear, Bruce / Broderick, Brian

    Published in:

    Journal of environmental science and health / A ; 51

    Publication date:

    2016

    ISSN:

    0360-1226

    DOI:

    https://doi.org/10.1080/10934529.2016.1198174

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    USA , Recht , Zeitschrift , Datenverarbeitung

    Classification:

    BKL:  30.00
    Local classification TIB:  770/6600

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